Abstract
Detecting phenotype descriptors in text and linking them to ontology concepts is a challenging task. Current state-of-the art concept recognizers struggle with several issues due the variety of human expressiveness. Here we present initial results of creating a dictionary of lexical variants for the Human Phenotype Ontology. This work is a smaller but important part of a larger project with a goal to improve recall in phenotype concept recognizers.
Cite
CITATION STYLE
Kocbek, S., & Groza, T. (2016). Building a dictionary of lexical variants for human phenotype descriptors. In BioNLP 2016 - Proceedings of the 15th Workshop on Biomedical Natural Language Processing (pp. 186–190). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-2925
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